General5 regions available

potato gratin / cream potatoes

Compare carbon footprint data for potato gratin / cream potatoes across multiple sourcing regions to identify lower-emissions alternatives.

Last updated 2026-02-09

Lowest footprint

1.005

kg CO2e / kg

Spain

Highest footprint

1.505

kg CO2e / kg

Netherlands

Emissions factors by sourcing region

Identify the lowest-carbon sourcing options for your Scope 3 Category 1 reporting.

Regionkg CO2eUnitCostYearComponentsDetails
Spain1.005kg CO2e / kgAI cost calculator2024
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Denmark1.070kg CO2e / kgAI cost calculator2024
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United Kingdom1.276kg CO2e / kgAI cost calculator2024
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France1.344kg CO2e / kgAI cost calculator2024
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Netherlands1.505kg CO2e / kgAI cost calculator2024
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Frequently asked questions

What is the emissions factor for potato gratin / cream potatoes?
The emissions factor for potato gratin / cream potatoes ranges by sourcing region. Publicly visible values are 1.005 to 1.505 kg CO2e / kg, while some sources are locked in this public view.
Which country has the lowest carbon footprint for potato gratin / cream potatoes?
Based on available data, the lowest emissions option is 1.005 kg CO2e / kg in Spain.
How do I reduce Scope 3 Category 1 emissions from potato gratin / cream potatoes?
Switching to lower-emissions sourcing regions is one of the most effective ways to reduce Scope 3 Category 1 emissions from potato gratin / cream potatoes. Use the comparison table on this page to identify lower-carbon options.
What lifecycle stages are included in the potato gratin / cream potatoes emissions factor?
The emissions factor includes land use change (LUC), land management (LMGT), and energy inputs (ENI) where data is available, covering the full farm-gate carbon footprint.
Can I use these potato gratin / cream potatoes emissions factors for supplier-level reporting?
Yes. These emissions factors can serve as activity-based estimates for Scope 3 Category 1 (purchased goods and services) reporting under GHG Protocol. For higher accuracy, supplier-specific primary data is recommended.
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